Automatically generating a response on behalf of a first user to a request received from a second user

ABSTRACT

A server automatically generates a response on behalf of a first user to a request received from a second user. The server receives configuration information for configuring automatic response generation for the first user, including information identifying the first user, information specifying a type of service provided by the first user including a plurality of parameters that define details for the service, and information providing an availability of the first user to provide the specified type of service. A request is received from the second user. The first user is selected from multiple users to respond to the request. A response is automatically generated using at least some of the received configuration information. The response is automatically transmitted to the second user on behalf of the first user.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application claims the benefit of U.S. Provisional Application No.62/456,094, filed Feb. 7, 2017, which is hereby incorporated byreference.

FIELD

Embodiments of the invention relate to the field of data processing; andmore specifically, to an improved system for automatically generating aresponse on behalf of a first user to a request received from a seconduser.

BACKGROUND

Responses are commonly generated for responding to requests in dataprocessing. Some responses are fully automatic and apply to allrequests. For example, in the context of web servers, a request for aweb page is typically responded with a response that contains therequested web page (if such a web page exists). This response istypically not customized to the individual requester.

Other types of responses are manually generated by the responder. Forexample, websites exist that allow potential service buyers to submit arequest for a service that includes certain details of the request suchas a category and a location, and the online marketplace may transmitthe request to one or more service professionals that match therequested category and location, and the service professional maycompose and generate a response. These responses are largely manual andcan be time intensive.

Online marketplaces exist for transacting for services online. Forinstance, websites exist that serve as a repository for reviews ofbusinesses and/or services. Potential service buyers may be presentedwith a directory of service professionals ranked by some measure ofquality (e.g., user reviews), and asked to select from that list. Thesedirectories do not make any effort to help service buyers find serviceprofessionals who have interest and/or intent to do their job, orservices professionals who are a good fit for the specific job of theservice buyer. Nor do they consider general supply/demand in the marketas a whole. As a result, both service buyers and service professionalsspend a lot of time and effort to find the best match between them inthese kinds of marketplaces.

Websites exist that allow potential service buyers to search for aservice professional and/or to be matched with a service professional.By way of example, the potential service buyer may post a request for aservice that includes certain details of the request such as a categoryand a location, and the online marketplace may transmit the request toall of the service professionals that match the requested category andlocation. Zero or more of the service professionals may respond to therequest by providing a quote for the service. However, transmitting therequest to all of the service professionals (or many serviceprofessionals) does not scale with many requests and many serviceprofessionals using the online marketplace. For instance, a particularservice professional may become inundated with requests, and/or manyservice professionals may respond to the potential buyer. Instead oftransmitting the request to all of the service professionals that matchthe requested category and location, a simple limiting system may beused such that if the service professional did not use marketplace overa certain period of time, they would not be sent requests or would besent a limited number of requests. However, this type of simple limitingsystem may have unintended consequences. For instance, if a serviceprofessional went on vacation, they may come back and find that themarketplace was not sending them requests. Also, in sending limitedrequests, service professionals may not be receiving the requests thatthey were interested in, which may cause them to stop using the onlinemarketplace.

SUMMARY

One general aspect includes a method in a server for automaticallygenerating a response on behalf of a first user to a request receivedfrom a second user, including: receiving configuration information forconfiguring automatic response generation for the first user, where thereceived configuration information for configuring automatic responsegeneration includes: information identifying the first user, informationspecifying a type of service provided by the first user including afirst plurality of parameters that define details for the service, andinformation providing an availability of the first user to provide thespecified type of service. The method also includes receiving therequest from the second user. The method also includes selecting thefirst user from a plurality of users to respond to the request receivedfrom the second user. The method also includes automatically generatingthe response using at least some of the received configurationinformation. The method also includes automatically transmitting theresponse to the second user. Other embodiments of this aspect includecorresponding computer systems, apparatus, and computer programsrecorded on one or more computer storage devices (such as non-transitorymachine-readable storage medium), each configured to perform theoperations of the methods.

Implementations may include one or more of the following features. Themethod where the request specifies that the response be automaticallygenerated as opposed to being manually generated. The method whereselecting the first user from the plurality of users includes receivinga selection indication from the second user of the first user. Themethod where the received configuration information further includesinformation indicating a number of responses can be generated on behalfof the first user in a given period of time; and where selecting thefirst user from the plurality of users includes determining that thefirst user is within the number of responses over the given period oftime. The method where the received configuration information furtherincludes information indicating pricing for the type of serviceincluding the plurality of parameters, and where automaticallygenerating the response includes calculating a total price to fulfillthe request and including the total price in the response. The methodwhere the request specifies a second plurality of parameters, and whereselecting the first user to respond to the request received from thesecond user includes determining that the first user meets the secondplurality of parameters specified in the request. The method whereautomatically generating the response includes including information inthe response from the received configuration information that matchesthe second plurality of parameters specified in the request.

BRIEF DESCRIPTION OF THE DRAWINGS

The invention may best be understood by referring to the followingdescription and accompanying drawings that are used to illustrateembodiments of the invention. In the drawings:

FIG. 1 is a block diagram that illustrates an exemplary architecture foran improved system for automatically generating a response on behalf ofa first user to a request received from a second user, according to anembodiment;

FIG. 2 is a flow diagram that illustrates exemplary operations for animproved system for automatically generating responses to requests,according to an embodiment;

FIG. 3 illustrates an exemplary interface that is configured to receiveinput from a professional regarding the category of service that theyprovide, according to an embodiment;

FIG. 4 illustrates an exemplary interface that is configured to receiveinput from a professional regarding the subcategory of service that theyprovide, according to an embodiment;

FIG. 5 illustrates an exemplary interface that is configured to receiveinput from a professional to specify if a related service is provided,according to an embodiment;

FIG. 6 illustrates an exemplary interface that is configured to receiveinput from the professional to specify the location of the professionaland travel preferences of the professional, according to an embodiment;

FIG. 7 illustrates an exemplary interface that is configured to receiveinput from the professional to specify contact information of theprofessional, according to an embodiment;

FIG. 8 illustrates an exemplary interface that is configured to receiveinput from the professional to specify profile information of theprofessional, according to an embodiment;

FIG. 9 illustrates an exemplary interface that is configured to receiveinput from the professional to describe the service they provide,according to an embodiment;

FIG. 10 illustrates an exemplary interface that is configured to receiveinput from the professional to specify other information, according toan embodiment;

FIG. 11 illustrates an exemplary interface that begins a series ofinterfaces shown in FIGS. 12A-12G that are configured to receive inputfrom the professional to setup automatic generation of quotes, accordingto an embodiment;

FIG. 12A illustrates an exemplary interface that is configured toreceive input from the professional for providing travel preferences,according to an embodiment;

FIG. 12B illustrates a portion of the interface of FIG. 12A that isconfigured to receive input from the professional defining the types ofevents that the professional is interested in responding to requests,according to an embodiment;

FIG. 12C illustrates a portion of the interface of FIG. 12A that isconfigured to receive input from the professional defining whether theprofessional is interested in responding to requests where certainadditional equipment or services have been indicated as needed,according to an embodiment;

FIG. 12D illustrates a portion of the interface of FIG. 12A that isconfigured to receive input from the professional defining the durationof the event in which the professional is interested in responding,according to an embodiment;

FIG. 12E illustrates a portion of the interface of FIG. 12A that isconfigured to receive input from the professional defining theprofessional's interest in responding to requests that specify an indooror outdoors preference, and the number of guests, according to anembodiment;

FIG. 12F illustrates a portion of the interface of FIG. 12A that isconfigured to receive input from the professional defining theprofessional's interest in responding to requests with different age ofguest ranges, according to an embodiment;

FIG. 12G illustrates a portion of the interface of FIG. 12A that isconfigured to receive input from the professional defining theprofessional's interest in responding to requests with different musicpreferences, according to an embodiment;

FIG. 13 illustrates an exemplary interface that begins a series ofinterfaces of the response configuration module shown in FIGS. 14-20 forthe professional to configure pricing and messaging for automaticgeneration of quotes, according to an embodiment;

FIG. 14 illustrates an exemplary interface that is configured to receiveinput for selecting the type of event for configuring pricing andmessaging, according to an embodiment;

FIG. 15 illustrates an exemplary interface that is configured to receiveinput from the professional to define the base price for a service,according to an embodiment;

FIG. 16 illustrates an exemplary interface that is configured to receiveinput from the professional to define whether the price of the serviceis different on the weekends, according to an embodiment;

FIG. 17 illustrates an exemplary interface that is configured to receiveinput from the professional to define the base price for a service onthe weekends, according to an embodiment;

FIG. 18 illustrates an exemplary interface that is configured to receiveinput from the professional to define whether any add-ons to the serviceare offered and how much they cost, according to an embodiment;

FIG. 19 illustrates an exemplary interface that is configured to receiveinput from the professional to define the price of an add-on, accordingto an embodiment;

FIG. 20 illustrates an exemplary interface that is configured to receiveinput from the professional to define a message that is included in thequote to a customer, according to an embodiment;

FIG. 21 illustrates an exemplary interface that is configured to receiveinput from the professional defining the availability of theprofessional, according to an embodiment;

FIG. 22 illustrates an exemplary interface that is configured to receiveinput from the professional for configuring a quote budget, according toan embodiment;

FIG. 23 illustrates an exemplary interface that is configured to receiveinput from the professional to configure a set of one or more matchingpreferences for a template, according to an embodiment;

FIG. 24 illustrates an exemplary interface that is configured to receiveinput from the professional to specify or edit a number of placeholdervalues in a template, according to an embodiment;

FIG. 25 illustrates an exemplary interface that is configured to receiveinput from a customer to submit a request for a DJ event service,according to an embodiment;

FIG. 26 is a flow diagram that illustrates exemplary operations for animproved system for matching customer requests with local serviceprofessionals according to an embodiment;

FIG. 27 is flow diagram that illustrates exemplary operations forselecting a second group of service professionals according to anembodiment;

FIG. 28 is a flow diagram that illustrates exemplary operations forselecting a response template from multiple response templates forresponding to a request, according to an embodiment;

FIG. 29 is a flow diagram that illustrates exemplary operations forcalculating the performance of each template of a responder, accordingto an embodiment;

FIG. 30 is a flow diagram that illustrates exemplary operations forgenerating the response using a response sheet, according to anembodiment;

FIG. 31A is a portion of an exemplary response that has beenautomatically generated in accordance with an embodiment;

FIG. 31B is another portion of the exemplary response that has beenautomatically generated in accordance with an embodiment; and

FIG. 32 is a block diagram illustrating an exemplary data processingsystem that may be used in some embodiments.

DESCRIPTION OF EMBODIMENTS

In the following description, numerous specific details such as typesand interrelationships of system components, interfaces, are set forthin order to provide a more thorough understanding of the presentinvention. It will be appreciated, however, by one skilled in the artthat the invention may be practiced without such specific details. Inother instances, control structures, gate level circuits and fullsoftware instruction sequences have not been shown in detail in ordernot to obscure the invention. Those of ordinary skill in the art, withthe included descriptions, will be able to implement appropriatefunctionality without undue experimentation.

References in the specification to “one embodiment,” “an embodiment,”“an example embodiment,” etc., indicate that the embodiment describedmay include a particular feature, structure, or characteristic, butevery embodiment may not necessarily include the particular feature,structure, or characteristic. Moreover, such phrases are not necessarilyreferring to the same embodiment. Further, when a particular feature,structure, or characteristic is described in connection with anembodiment, it is submitted that it is within the knowledge of oneskilled in the art to affect such feature, structure, or characteristicin connection with other embodiments whether or not explicitlydescribed.

A method and apparatus for an improved system for automaticallygenerating a response on behalf of a first user to a request receivedfrom a second user is described. Given a request from a first user(sometimes referred herein as a “requester” or a “customer”), thatrequest is matched with a set of one or more different users (sometimesreferred herein as “responders” or “professionals”). In a specificexample, the request is for a service and data from the request is usedto match the request to identified responders that may be suitable forfulfilling the service request. The data in the request includes datathat is structured, and may be received by the system through input of aform submitted by the requester. The submission of the request formprovides a relatively large set of structured data that is used whenmatching with responders. Instead of sending the request from arequester to a matching responder, a response is automatically generatedby the system on behalf of the responder and sent to the requester. Theresponse may be referred herein as a quote, and may be used by thecustomer to determine whether to hire the professional.

Prior to automatically generating the response, the responder providesconfiguration information such as what requesters they are willing torespond to and the types of jobs that they are willing to accept. Theresponder may also provide information for automatic generation of theresponse including their name, type of service they provide, location,travel preferences, profile photo, service description, and other basicinformation about their business. The responder may provide informationabout the price they will charge for the service. The responder mayprovide information regarding the number of jobs they can perform in agiven period of time.

The responder(s) that are selected for automatic generation of responsesare selected from many more professionals. In an embodiment, theselected responder(s) are selected based on multiple level matchingwhere the first level of matching may be performed based on a set ofcourse features including one or more of category, location, andprogress points (measure of profile completeness), and the responder(s)that match these features are referred to as candidate responders. Asecond level of matching may include computing a score for eachcandidate responder based on a scoring function and feature data, todetermine which responder(s) to select. The selection may be based onmachine learning models with heuristics. For instance, in an embodiment,the decision of selecting responder(s) may be based on one or more ofthe following: a relevance of the responder's response to the requester,maximizing fulfillment of requests, and maximizing an overall aggregatemeasure of relevance across a plurality of requests.

FIG. 1 is a block diagram that illustrates an exemplary architecture foran improved system for automatically generating a response on behalf ofa first user to a request from a second user, according to anembodiment. The system 100 illustrated in FIG. 1 includes a customerdevice 105 that is operated by a customer, service professional devices115A-N that are each operated by a different service professional of theservice professionals 112A-N, and a server 125. The customer device 105and the service professional devices 115A-Z each are types of computingdevices that interact with the server 125 and may be a desktop, laptop,smartphone, tablet, wearable device, etc., that executes a clientnetwork application. The client network application may be a web browser(e.g., a desktop browser, a mobile optimized browser), a nativeapplication, or other application that can access network resources suchas web pages, images, videos, or other computer files. The customerdevice 105 and the service professional devices 115A-Z interact with theserver 125 over a network, such as the Internet. The server professionaldevices 115A-Z are configured to provide response configurationinformation to the server 125, which the server 125 uses whenautomatically generating response(s) on behalf of the serviceprofessionals 112A-N.

The server 125 is a computing device that provides functionality for theimproved system for generating a response to a request. In theembodiment illustrated in FIG. 1, the server 125 includes the requestprocessing module 120, the response configuration module 140, theresponse module 145, and the data store 160. The data store 160 storesdata related to the service professionals and the customers. The datastore 160 is used by the server 125 (e.g., the request processing module120, the response configuration module 140, and/or the response module145) when automatically generating the responses. For each serviceprofessional, the data store 160 may store service professional profileinformation of the service professional (typically provided by theservice professional), and statistical information of the serviceprofessional (typically derived or calculated by the server 125). Theservice professional profile information may include, for each serviceprofessional, one or more of the following: the service professional'sname, the category (or categories) offered by that service professional,the location where the service is offered, whether the serviceprofessional travels to provide the service, contact information of theservice professional (e.g., email address, phone number, street address)pictures of the service professional and/or service, videos of theservice professional and/or service, service description, whether theprofessional has passed a background check, and whether the professionalhas shown proof of being licensed, etc. The statistical information ofthe service professional may include one or more of the following: thenumber of times the professional has been hired, the number of quotessent by, or on behalf, of that professional, the number of requests sentto that professional, the hire rate of the professional (the number ofhires over the number of quotes), the number of services performed bythe professional in all categories, the rate at which the professionalresponds to a request or message from a customer, review(s) of theservice professional (typically provided by past customers), and arating of the service professional based on the review(s). For eachcustomer, the data store 160 may store profile information of thecustomer (typically provided by the customer) and/or statisticalinformation of the customer (typically derived or calculated by theserver 125). The customer profile information may include, for eachcustomer, one or more of the following: the name of the customer, thelocation of the customer, and contact information of the customer (e.g.,email address, phone number, street address). The statisticalinformation of each customer may include one or more of the following:hire rate of the customer in the requested category (hires overrequests), hire rate of the customer in all categories (hires overrequests), and the rate at which the customer responds to a serviceprofessional, review(s) of the customer (typically provided by pastservice professionals). Although illustrated in FIG. 1 as part of theserver 125, the data store 160 may be located in a separate computingdevice than the server 125 and queried by the server 125.

The response configuration module 140 is adapted to be used by theprofessionals for configuring automatic generation of a response to arequest. The response configuration module 140 may provide an interface(e.g., available as a website or part of a native application) thatallows responders to configure and manage (e.g., create, view, edit,delete, modify) rules for the automatic generation of responses torequests. As will be described in greater detail later herein, theresponse configuration module 140 is configured to allow a professionalto provide profile information including one or more of the serviceprofessional's name, the type of service provided, the travelpreferences of the professional (e.g., whether the professional travelsto customers, whether customers travel to the professionals, how far theprofessional is willing to travel), profile photo, and a servicedescription; job preferences (what types of jobs the professionalwants); pricing information; availability information (e.g., when theprofessional is available for a job, when the professional is notavailable for a job); and a budget. The response configuration module140 may be adapted to receive response template configurationinformation that allows a professional to create, view, edit, delete,and/or configure a response template.

The request processing module 120 is configured to receive and processrequests from requesters. Each request defines the parameters of what isbeing requested. In a specific embodiment where the request is a requestfor service, the request defines the type of service requested, thelocation where the service is desired, a category of the desiredservice, and one or more request preferences. Typically, the locationindicates where the customer is located and/or how far the customer iswilling to travel to purchase services. The location may be entered as acity, a street within a city, a zip code, etc. The category of serviceindicates the type of service that is desired. There may be manydifferent categories that can be selected and/or input by the customer.As an example, French Lessons may be a category. As another example,Interior Design may be a category. The request may also includeinformation about the requested job, dependent upon the job category.This information is sometimes referred herein as request preferences.For instance, if the category is Interior Design, the request mayspecify what room(s) (e.g., kitchen, living room, bedroom, dining room,commercial or office space, etc.) are desired to be improved. As anotherexample, if the category is French Lessons, the request may specify theage (or age range) of the person that wants to improve or learn French.

The request processing module 120 may select the responder(s) that areeligible for responding to the request. In an embodiment, the requestprocessing module 140 selects, from multiple responders, a set of one ormore responders 185 for responding to the request as a result of amatching process performed by the matching module 150. This matching mayinclude selecting the set of responders that match at least therequested location and category, and may be based on data analysis thatindicates one or more of the following: a determined interest level ofthe responder in the request; a relevance of the responder to therequester; relatively short term supply and demand in the marketplacefor the requested job; and relatively long term supply and demand in themarketplace. In another embodiment, instead of matching the request witha set of responders(s), the request specifies the responder(s) forresponding. For instance, the server 125 may be configured to allow therequester to view/browse a list of responder(s) (e.g., that match therequested location and category) and select the responder(s) directly.In this embodiment, the request processing module 140 selects theresponder based on the identified responder in the request itself. Inthe example shown in FIG. 1, the professionals 185 that operate theservice professional devices 115A-L have been determined to match therequest.

The response module 145 is configured to automatically generate aresponse on behalf of a selected responder, based on the responseconfiguration information received from the responders and the request.The response module 145 is also configured to communicate the generatedresponse to the requesting device.

FIG. 2 is a flow diagram that illustrates exemplary operations for animproved system for automatically generating responses to requests,according to an embodiment. The operations of FIG. 2 and the other flowdiagrams will be described with respect to the exemplary embodiment ofFIG. 1. However, it should be understood that the operations of FIG. 2and the other flow diagrams can be performed by different embodimentsthan those discussed with FIG. 1, and the exemplary embodiment of FIG. 1can perform different embodiments than those discussed with respect toFIG. 2 and the other flow diagrams.

At operation 210, the response configuration module 140 receivesconfiguration information 170 for configuring automatic responsegeneration on behalf of a responder. The received configurationinformation 170 is used by the response configuration module 140 toconfigure rules for generating responses on behalf of the responder. Forinstance, in an embodiment where the response is generated in reply to arequest for service, the configuration information 170 may specify oneor more of: profile information including one or more of the serviceprofessional's name, the type of service provided, the travelpreferences of the professional (e.g., whether the professional travelsto customers, whether customers travel to the professionals, how far theprofessional is willing to travel), profile photo, and a servicedescription; job preferences (what types of jobs the professionalwants); pricing information; availability information (e.g., when theprofessional is available for a job, when the professional is notavailable for a job); and a budget.

FIGS. 3-22 illustrate an exemplary interface of the responseconfiguration module 140 for a service professional to provide input forconfiguring automatic response generation, according to an embodiment.The interfaces shown in FIGS. 3-22 are from a standalone application(also referred to as an “app”) running on a mobile device of a serviceprofessional. However, it should be understood that similar interfacescan be used to receive the information such as through a web page thatis displayed on a desktop or mobile device.

FIG. 3 shows an interface 305 that is configured to receive input from aprofessional regarding the category of service that they provide, eithersearching or selecting from a list of predefined service categories 310.In the example shown in FIG. 3, the predefined service categories 310includes academic lessons, business, cleaning, design, web, and techservices, events, food and beverage, and home improvements. It should beunderstood that these categories are exemplary and more, less, ordifferent categories may be displayed to the professional. In theexample shown in the Figures, the professional is a DJ which falls underthe event service category. Thus, if the professional selects the eventscategory 315, the interface 405 is shown, which is configured to receiveinput from the professional that specifies the type of service providedby the professional. The list of services 410 are subcategories of theevents categories for different kinds of event services. Thesubcategories depend on the parent category. As illustrated in FIG. 4,the subcategories include balloon artistry, band entertainment, comedyentertainment, dance entertainment, DJ, entertainment, event florist,and event hair styling. It should be understood that these subcategoriesare exemplary and more, less, or different subcategories may bedisplayed to the professional. Since in this example the professionalprovides DJ services, the element 415 representing a DJ is selected.Some services may have related services. FIG. 5 illustrates an interface505 that is configured to receive input from the professional to specifyif a related service is provided. In the example of FIG. 5, the relatedservices for a DJ professional include audio recording and MC/hostingservice, and the professional has selected element 515 representing thatthey provide audio recording service.

FIG. 6 illustrates an interface 605 that is configured to receive inputfrom the professional to specify the location of the professional andtravel preferences of the professional. For instance, the interface 605includes an element 615 indicating that the professional travels to thecustomer, an element 620 indicating that customers travel to theprofessional, an element 625 indicating that the service is performedremotely (e.g., phone or internet), an element 630 indicating a zip codeof the professional, and an element 635 indicating how far theprofessional is willing to travel for providing the service. Asillustrated in FIG. 6, the professional has selected elements 615 and620 indicating that the professional both travels to customers andcustomers travel to the professional, provided a zip code in the element630, and provided that they are willing to travel 30 miles for providingthe service in element 635.

FIG. 7 illustrates an interface 705 that is configured to receive inputfrom the professional to specify contact information of theprofessional, such as their first name, last name, email address, andphone number. The interface 705 also allows the professional to enableor disable text messages through selection of the element 710. FIG. 8illustrates an interface 805 that is configured to receive input fromthe professional to specify profile information of the professionalincluding adding a profile photo through selection of element 810,describing their service through selection of element 815, enteringinformation through selection of element 820, and asking for reviewsthrough selection of element 825. Upon selecting the element 815, theinterface 905 shown in FIG. 9 is shown, which allows the professional todescribe their service. FIG. 10 shows an interface 1005 that isconfigured to receive input from the professional to specify otherinformation including their name, address, and date of birth.

FIG. 11 illustrates an interface 1105 that begins a series of interfacesshown in FIGS. 12A-12G that are configured to receive input from theprofessional to configure automatic generation of quotes, according toan embodiment. In the example shown in FIGS. 11-12G, an automaticgeneration of quotes for a professional providing event DJ services isshown. Of course it should be understood that different interfaces withdifferent elements can be used for different types of services. In anembodiment, the interface 1105 is provided to the professionalresponsive to the professional viewing a past request for an event DJservice and selecting an option to configure automatic generation of aquote. In another embodiment, the interface 1105 is provided responsiveto the professional selecting an option to automatically configure aquote for event DJ requests. Upon selecting the element 1110, theinterface 1205 is provided to the user. The interface 1205 is configuredto receive input that allows the professional to define the type ofrequests in which that professional is interested in quoting. As will bedescribed in greater detail later herein, this information is used bythe matching module 150 when determining which requests (received fromcustomers) match this professional. For purposes of description, theparameters configured by the professional to define the types ofrequests in which the professional is interested in quoting are referredherein as request matching preferences. As will be described in greaterdetail later herein, the request matching preferences are used whendetermining if a request (which includes a set of parameters referredherein as request preferences) matched for this professional.

The interface 1205 is shown in several FIGS. 12A-12G. As shown in FIG.12A, the interface 1205 is configured to receive input from theprofessional for providing travel preferences 1210. For instance, theinterface 1205 includes an element 1212 indicating that the professionaltravels to the customer, an element 1214 indicating that customerstravel to the professional, and an element 1216 indicating that theservice is performed remotely (e.g., phone or internet). As illustratedin FIG. 12A, the professional has selected element 1212 indicating thatthe professional is interested in responding to requests where theprofessional travels to the customer.

FIG. 12B shows a portion of the interface 1205 configured to receiveinput from the professional defining the types of events that theprofessional is interested in responding to requests. The interface 1205includes a list of predefined DJ event types 1220 including birthdayparty, wedding, corporate event, prom/school dance, graduation party,summer party, family reunion, anniversary party, and engagement party.As illustrated in FIG. 12B, the elements 1221-1229 have each beenselected thereby defining that the professional is interested inresponding to requests where the DJ event type is a birthday party,wedding, corporate event, prom/school dance, graduation party, summerparty, family reunion, anniversary party, or an engagement party.

FIG. 12C shows a portion of the interface 1205 that is configured toreceive input from the professional defining whether the professional isinterested in responding to requests where certain additional equipmentor services have been indicated as needed, and defining whether theprofessional is interested in responding to requests depending onwhether the venue provides the sound equipment. As illustrated in FIG.12C, the interface 1205 includes a list of predefined additionalequipment or services needed for the event including element 1231representing MC service, element 1232 representing microphones, element1233 representing lighting, and element 1234 representing a fog machine.In this example, elements 1231-1234 have been selected thereby definingthat the professional is interested in responding to requests where anyof those equipment or services have been indicated as being needed. Theinterface 1205 also allows the professional to define whether theprofessional is interested in responding to requests that specify thatthe venue provides sound equipment and/or that the DJ must provide thesound equipment. In this example, element 1236 and element 1237 haveeach been selected thereby defining that the professional is interestedin responding to requests where either the venue provides soundequipment or the DJ must provide the sound equipment.

FIG. 12D shows a portion of the interface 1205 that is configured toreceive input from the professional defining the duration of the eventin which the professional is interested in responding. The interface1205 includes a list of predefined durations including 1 hour, 2 hours,3 hours, 4 hours, 5 hours, 6 hours, 7 hours, 8 hours, and more than 8hours. In this example, elements 1241-1249 have been selected therebydefining that the professional is interested in receiving requests thatspecify any of the durations between 1 hour and more than 8 hoursrespectively.

FIG. 12E shows a portion of the interface 1205 that is configured toreceive input from the professional defining the professional's interestin responding to requests that specify an indoor or outdoors preference,and the number of guests. In this example, elements 1251-1253 have eachbeen selected thereby defining that the professional is interested inresponding to requests that specify that the event is indoors, outdoors,or they are not sure yet, respectively. Elements 1254-1259 have eachbeen selected thereby defining that the professional is interested inresponding to requests that specify the number of guests to be 25 orfewer, 25-50, 51-100, 100-150, 150-200, or more than 200 guests,respectively.

FIG. 12F shows a portion of the interface 1205 that is configured toreceive input from the professional defining the professional's interestin responding to requests with different age of guest ranges. As shownin FIG. 12F, the interface 1205 includes a list of predefined age ranges1260 including 12 years or younger, 13-17 years, 18-30 years, 31-50years, and 51 or older. In this example, elements 1261-1265 have eachbeen selected thereby defining that the professional is interested inresponding to requests that specify the age of guests to be 12 years oryounger, 13-17 years, 18-30 years, 31-50 years, or 51 or older,respectively.

FIG. 12G shows a portion of the interface 1205 that is configured toreceive input from the professional defining the professional's interestin responding to requests with different music preferences. As shown inFIG. 12G, the interface 1205 includes a list of predefined musicpreferences 1270 including pop, rock, R&B/soul, Hip-hop/rap, EDM/house,top 40, Latin, and country. In this example, elements 1271-1278 haveeach been selected thereby defining that the professional is interestedin responding to requests that specify a music preference of pop, rock,R&B/soul, Hip-hop/rap, EDM/house, top 40, Latin, or country,respectively.

Although FIGS. 11-12G illustrate an example interface of a professionalconfiguring the request matching preferences for a single type ofrequest, it should be understood that the configuration module 145 isadapted to receive request matching preferences from a professional formultiple types of requests and/or multiple different combination ofrequest matching preferences. The request matching preferences arestored in the data store 160 in association with an account of theprofessional and uniquely identifiable.

In addition to defining the request matching preferences, theconfiguration information for automatic generation of quotes includespricing and messaging configuration information, in an embodiment. FIG.13 illustrates an interface 1305 that begins a series of interfaces ofthe response configuration module 140 shown in FIGS. 14-20 for theprofessional to configure pricing and messaging for automatic generationof quotes, according to an embodiment. The pricing and messagingconfiguration information is stored in the data store 160 and uniquelyidentifiable (e.g., through a unique identifier). For purposes ofdescription, the pricing and messaging configuration information storedin the data store 160 is sometimes referred herein as a response sheet.

The pricing and messaging configuration information shown in the exampleof FIGS. 13-20 applies to the request matching preferences configured inFIGS. 11-12G. It should be understood that pricing and messagingconfiguration information may be configured by a professional formultiple different request matching preferences. In addition, it shouldbe understood that the pricing and messaging configuration informationmay be defined independently from the request matching preferences andselectively apply to different elements of the request matchingpreferences. That is, multiple response sheets may be configured for thesame set of request matching preferences. For instance, if the requestmatching preferences for an event DJ include top 40 music and countrymusic, the professional may configure a response sheet for top 40 musicand a response sheet for country music (e.g., the messaging may bedifferent between the two).

Responsive to selecting the element 1310, the interface 1405 of FIG. 14is provided to the user. The interface 1405 is configured to receiveinput for selecting the type of event for configuring pricing andmessaging. The interface 1405 includes a list of types of events thatcan be selected, including the element 1410 corresponding to a weddingevent, element 1415 corresponding to a corporate event, and element 1420corresponding to other events. The type of events that can be selectedby the professional correspond with the type of events previouslydefined by the professional as those in which the professional isinterested in responding (e.g., in FIG. 12B). In this example, input isreceived to select element 1410 corresponding to a wedding event.Responsive to selecting element 1410, the interface 1505 of FIG. 15 isprovided to the user.

In an embodiment, the pricing for a service includes a base price andmay include pricing for add-ons that are offered. The base price may beadjusted for different time durations and adjusted based on date (e.g.,weekends, holidays, etc.). FIG. 15 shows an interface 1505 that isconfigured to receive input from the professional to define the baseprice for a service, in this example a wedding event. The interface 1505includes a list of durations of the event including 3 hours, 4 hours, 5hours, 6 hours, 7 hours, and 8 hours, represented by elements 1511-1515respectively. FIG. 16 illustrates an interface 1605 that is configuredto receive input from the professional to define whether the price isdifferent on the weekends. The interface 1605 includes element 1611indicating that the price is different on the weekends, and the element1612 indicating that the price is not different on the weekends. If theelement 1611 is selected, the interface 1705 of FIG. 17 is provided tothe professional that is configured to receive input from theprofessional to define the base price for a service on the weekends, inthis example a wedding event. The interface 1705 includes a list ofdurations of the event including 3 hours, 4 hours, 5 hours, and 6 hours,represented by elements 1711-1714 respectively.

FIG. 18 shows an interface 1805 that is configured to receive input fromthe professional to define whether any add-ons are offered and how muchthey cost. The interface 1805 includes a set of predefined add-ons 1810that depend on the type of service being provided by the professional.In the example of FIG. 18, the set of predefined add-ons 1810 includethe elements 1811-1816 representing uplighting, dance floor lighting, MCservice, fog machine, projector, and photo booth, respectively.Selection of a particular one of the elements 1811-1816 causes anotherinterface to be provided to the professional for configuring the pricefor that particular add-on. For example, FIG. 19 shows an interface 1905that is configured to receive input from the professional to define theprice of an add-on, in this example the price for an uplighting add-onfor a wedding event. The interface 1905 includes a toggle element 1910for toggling whether the uplighting add-on is offered, and if so, theelements 1911-1913 for configuring the price for the add-on for a smallvenue, medium venue, and large venue respectively.

FIG. 20 shows an interface 2005 configured to receive input from theprofessional to define a message that is included in the quote to acustomer, in this example a wedding event. The interface 2005 includes atext field 2010 that is configured to allow the professional to write amessage that will be included in the quote to a customer.

Although FIGS. 14-20 illustrate an example of a professional configuringa response sheet to match against a single request service type (in thisexample a wedding DJ event), it should be understood that theconfiguration module 145 is adapted to allow the professional toconfigure multiple response sheets.

In an embodiment, the configuration for automatic generation of quotesincludes configuring availability of the professional. FIG. 21illustrates an exemplary interface 2105 configured to receive input fromthe professional defining the availability of the professional. Theinterface 2105 allows the professional to block off unavailable times.The interface 2105 includes a month/year selector 2110 that isconfigured to receive input on the month/year. The interface 2105includes a day selector 2115 that allows the professional to block offan entire day by selecting the top cell in a column. The interface 2105also includes a cell selector 2120 that allows the professional to blockoff certain times (e.g., 1 hour increments) using the calendar. AlthoughFIG. 21 illustrates an interface that allows a professional to configureunavailable times, in another embodiment an interface is configured toreceive input from the professional specifying their available times. Inan embodiment, the system automatically updates the calendar withunavailable times based on confirmed jobs.

In an embodiment, the configuration for automatic generation of quotesincludes configuring how many quotes can be generated on behalf of theprofessional (sometimes referred herein as the quote budget). The quotebudget may be an overall budget or may be a recurring budget over aperiod of time (e.g., a quote budget per day, per week, per month,etc.). In an embodiment, the number of quotes generated on behalf of aprofessional over a given time period may be for more jobs than thatprofessional has current capacity to fulfill, if it is determined thatthe professional on average does not typically get hired for every quotethat is generated. In an embodiment, professionals are charged when anautomatic quote is placed on their behalf. In another embodiment, theprofessionals are charged when a customer makes a contact (e.g., sends amessage, places a phone call through the platform, etc.) in response toan automatic quote being placed on their behalf. FIG. 22 illustrates anexemplary interface 2205 configured to receive input from theprofessional for configuring a quote budget, in this example for anevent DJ. The interface includes element 2210 that is configured toreceive input from the professional that allows the professional toinput the maximum budget for quotes for the week. The interface 2205also includes the element 2215 which is a calculation of the amount ofcustomer responses that the professional is likely to receive duringthat week.

In an embodiment, the configuration information includes information toconfigure a set of one or more response templates (referred to asresponse template configuration information). Each template may beconfigured with a set of one or more matching preferences that allow thesystem to automatically select the best template for responding to aparticular request. That is, different templates may be selected fordifferent requests (depending on the data contained in the request).Each template may be configured with a set of one or more placeholdervalues that are automatically populated by the system with valuesincluded in the request. The system automatically selects the templatethat is determined to be the best template for generating the response(e.g., the template that most closely matches the request) by using, forexample, data from the request and the set of matching preferences ofeach template.

The response template configuration information defines the parametersof the template. The response template configuration information mayspecify, for each template, a message field and/or attachment(s). Themessage field of the response template may be customized by theresponder. For instance, in an embodiment where the template is used bya professional for responding to a request for service, the template mayinclude information including one or more of the following: the name ofthe professional, contact information of the professional (e.g., phonenumber, email address, social network username, etc.), a description ofthe qualifications of the professional, information about the price theprofessional estimates the requested job will cost, and otherinformation that the professional wants to include to win the businessof the customer.

The response template configuration information may specify a set of oneor more matching preferences for each template. A matching preference isused by the response module 145 when selecting a template to use torespond to a request. In an embodiment, a matching preference includes arequest field and corresponding a set of one or more expected values formatching. The request field of a matching preference is based on therequest field used by the requester when submitting the request. By wayof example, for a request for the services of a DJ for an event, therequest may include a request field for the type of event (e.g. birthdayparty, wedding, corporate event, prom/school dance) and the set of oneor more expected values used for matching. For instance, a DJprofessional may configure a template for weddings, a separate templatefor birthday parties, and a separate template for other types of events.In the template for weddings, the matching preference may be:{event_type, wedding}; for the template for birthday parties, thematching preference may be: {event_type, birthday party}; and for thetemplate for other events, the matching preference may be: {event_type,(corporate event, prom/school dance)}.

FIG. 23 illustrates an exemplary interface for a responder to configurea set of one or more matching preferences for a template, according toan embodiment. Although not illustrated in FIG. 23, the interface 2305is specific for an event DJ template and may be provided by the templatemanagement module 130 in response to the responder specifying toconfigure or create an event DJ template. It should be understood thatthe predefined request fields and corresponding input value options formatching provided in the interface 2305 are exemplary and differentrequest fields and input value options may be used. The interface 2305includes a number of request fields that are used to match against arequest, in this example a request for services of a DJ for an event.The interface 2305 includes a field 2310 for defining when this templateis to be used, and a corresponding set of input value options 2312-2314(respectively, never for event DJ requests, for event DJ requests thatdon't match a specific template, and for specific event DJ requestsonly). In the example shown in FIG. 23, the input value 2316representing that the template is to be used for specific event DJrequests only, has been selected. The interface 2305 includes a set ofone or more request fields 2318 that define the criteria upon which thetemplate is to match against a request. The request field 2320 is forspecifying the type of event this template is to match by selecting oneor more of the corresponding input value options 2322-2328 (respectivelybirthday party, wedding, corporate event, and prom/school dance). In theexample of FIG. 23, the input values 2324 and 2326 have been selected,representing a wedding and corporate event respectively. The requestfield 2330 is for specifying the music preferences this template is tomatch by selecting one or more of the corresponding input value options2332-2336 (respectively pop, rock, and hip-op). In the example of FIG.23, the input values 2332-2336 have each been selected, meaning thatthis template matches against all types of music preferences. Therequest field 2340 is for specifying the number of guests this templateis to match by selecting one or more of the corresponding input valueoptions 2342-2346 (respectively 25 or fewer, 26-50, and over 50). In theexample of FIG. 23, the input values 2342 and 2344 have been selected,representing 25 or fewer guests and 26-50 guests. The request field 2350is for specifying the extra services this template is to match byselecting one or more of the corresponding input value options 2352-2356(respectively MC services, fog machine, and microphones). In the exampleof FIG. 23, the input value 2352 has been selected, representing MCservices.

The response configuration module 140 may allow the responder to specifyor edit a number of placeholder values in the message field that areautomatically populated based on information in the request (if thattemplate is used for generating a response). For instance, in a specificembodiment where the request is a request for service, exampleplaceholder values include the requester name, the day of week, the datethe job is requested, the type of service, and a description of theservice. The location of the placeholder values in the message field maybe configured by the responder. FIG. 24 illustrates an example interfacethat allows the responder to specify or edit a number of placeholdervalues in a template, according to an embodiment. FIG. 24 illustrates atemplate that is used for responding to a request for service. Theinterface 2410 may be provided by the response configuration module 140in an editor (e.g., a what you see is what you get (WYSIWYG) typeeditor). The available placeholder fields may be inserted into themessage body of the template (e.g., drag and drop from a sidebar listingthe available placeholder fields). As shown in FIG. 24, the placeholderfields inserted into the template include the requester name field 2420,the service description field 2425, the service date field 2430, and theservice description detail field 2435. The interface 2410 also allowsthe professional to specify the total price 2415 to be used for thetemplate, and includes an attachment upload button 2450 to allow theprofessional to include any attachment.

In an embodiment, a template may be created automatically by theresponse configuration module 140 based on a previous request and/orsubmitted response of the responder. For example, the responseconfiguration module 140 may analyze requests sent to the responder inwhich the responder submits a response (e.g., over a threshold value)and automatically generate a template that matches those requests. Asanother example, the response configuration module 140 may receive fromthe responder a selection of a previous response and automaticallygenerate a template that matches similar requests in the future. In suchan embodiment, automatically generating the template includesautomatically setting the one or more matching preferences for thetemplate according to the request values submitted by the requester. Forexample, with reference to FIG. 23, if the request indicates that thetype of event for the DJ is a wedding, then automatically setting theone or more matching preferences for the template includes setting thevalue of the request field 2320 to correspond to a wedding event.

Referring back to FIG. 2, after receiving the configuration informationin operation 210, the response configuration module 140 causes theinformation to be stored in the data store 160 at operation 215. Flowthen moves to operation 220.

At operation 220, the request processing module 120 of the server 125receives the request 175 from the customer device 105. The request 175defines the parameters of what is being requested including a set of oneor more request preferences. In a specific embodiment where the requestis a request for service, the request defines the type of servicerequested, the location where the service is desired, a category of thedesired service, and one or more request preferences. Flow moves fromoperation 220 to operation 225.

In an embodiment, the request 175 specifies that the customer desires toreceive responses that have been automatically generated (as opposed tobeing manually generated). Thus instead of having to wait to receive aresponse that is largely manually generated, the customer can receiveresponses that have been automatically generated much more quickly. Thisleads to higher engagement rates of the customer since they candetermine whether to respond in a shorter timeframe. This in turn leadsto higher chances of a professional being hired, and a faster process toget the service completed.

FIG. 25 illustrates an exemplary interface that may be provided by theserver 125 for a customer to submit a request for a DJ event service,according to an embodiment. The customer may have indicated that theyneed a DJ event service and the interface 2505 may be presented to theuser. It should be understood that the predefined request fields andcorresponding input value options provided by the interface 2505 areexemplary and different request fields and input value options may beused. The interface 2505 includes a number of request fields for thecustomer to define details of the requested service. The interface 2505includes a request field 2510 for the kind of event that the customer ishosting, and a corresponding set of input value options 2512-2518 forthe customer to specify the kind of event (respectively birthday party,wedding, corporate event, and prom/school dance). In the example shownin FIG. 25, the input value 2514 representing a wedding event has beenselected. The interface 2505 includes a request field 2520 forspecifying how many guests are expected at the event, and acorresponding set of input value options 2522-2526 for the customer tospecify the kind of event (respectively 25 or fewer, 26-50, and over 50guests). In the example shown in FIG. 25, the input value 2524representing 26-50 guests has been selected. The interface 2505 includesa request field 2530 for specifying the type of music desired, and acorresponding set of input value options 2532-2536 for the customer tospecify the type of music (respectively pop, rock, and hip-hop). In theexample shown in FIG. 25, the input value 2532 representing pop musichas been selected. The interface 2505 includes a request field 2540 forspecifying additional equipment or services for the event, and acorresponding set of input value options 2542-2546 for the customer tospecify the additional equipment or services (respectively MC services,fog machine, and microphones). In the example shown in FIG. 25, theinput value 2542 and the input value 2546 respectively representing MCservices and microphones have been selected. The interface 2505 includesa location field 2550 for specifying where the DJ is needed, and acorresponding input value field 2552 that allows the customer to specifythe location.

Referring back to FIG. 2, at operation 225, the request processingmodule 120 selects the responder for responding to the request. In anembodiment, the request processing module 120 selects the responder forresponding to the request using a matching process that selects theresponder (and potentially a set of one or more other responders) forresponding to the request. This matching process may include determiningthat the responder matches one or more parameters specified in therequest. In a specific embodiment where the request is a request forservice, this matching may include selecting the set of responders thatmatch at least the requested location and category, and may be based ondata analysis that indicates one or more of the following: a determinedinterest level of the professional in the request; a relevance of theprofessional to the customer; relatively short term supply and demand inthe marketplace for the requested job; and relatively long term supplyand demand in the marketplace. In another embodiment, instead ofmatching the request with a set of responder(s), the request itselfspecifies the responder(s). For instance, the server may be configuredto allow the requester to view/browse a list of responder(s) (e.g., thatmatch the requested location and category) and select the responder(s)directly. In this embodiment, the request processing module 120 selectsthe responder based on the identified responder in the request itself.

FIG. 26 is a flow diagram that illustrates exemplary operations for animproved system for matching customer requests with local serviceprofessionals according to an embodiment. The operations of FIG. 26 willbe described with respect to the exemplary embodiment of FIG. 1.However, it should be understood that the operations of FIG. 26 can beperformed by different embodiments than those discussed with FIG. 1, andthe exemplary embodiment of FIG. 1 can perform different embodimentsthan those discussed with respect to FIG. 26. In an embodiment, theoperations described with respect to FIG. 26 are performed duringoperation 225 to select the responder for responding to the request.

At operation 2615, the matching module 150 of the server 125 performs afirst level of matching based on the requested location and category.Thus at operation 2615, the candidate selector 152 of the matchingmodule 150 determines a first group of service professionals that matchthe requested location and category, which are sometimes referred to ascandidate professionals. The matching module 150 accesses informationabout the professionals such as the location(s) that they offer serviceand the categor(ies) of service that they offer from the data store 160.The candidate selector 152 compares the requested location and categorywith the information from the data store 160 to select the candidateprofessionals. It should be understood that depending on the locationand/or category, there may be many candidate professionals. Flow movesfrom operation 2615 to operation 2620.

After determining the candidate professionals, the matching module 150of the server 125 performs a second level of matching to refine whichprofessionals are selected for automatic quoting. The second level ofmatching is intended to determine which set of professionals are bestsuited for the job, and may take the following factors intoconsideration: the customer's requirements for the job, theprofessional's express intent and derived interest in doing the job, thequalification of the professional for the job, whether the professionalis a good fit for what the customer is looking for (e.g., for jobsinvolving personal preferences or style, such as interior design jobs),whether the customer is a good fit for the professional and is likely todeliver value to the professional's business, maximizing fulfillment ofrequests, and/or maximizing an overall aggregate measure of relevanceacross a plurality of requests. At operation 2620, the selection limiter154 of the matching module 150 performs operations 2625-2630 for eachprofessional in the first group of professionals (the candidateprofessionals).

At operation 2625, the selection limiter 154 computes a value thatquantifies a likelihood of the requesting customer hiring that serviceprofessional for the service, if a quote was given. The computation ofthis value may be based on the estimated quality of the professionals tothe customer and may use a logistic regression model. By way of example,the logistic regression model may use one or more signals derived fromdata of the system including reviews of the professionals, non-reviewrelated profile features, response time of the professionals, previoushire rate of the professionals, distance between the requested locationand the professional, non-professional-specific features, and/orinformation from the perspective quote itself such as the price thatwould be offered to perform the requested job.

Through an empirical data analysis, the number of reviews of aprofessional is correlated with the hire rate of the professional.Similarly, the rating of the reviews is also correlated with the hirerate of the professional. To say it another way, professionals that havea relatively large number of reviews and are rated relatively high tendto be hired at a larger rate than professionals with a relatively lownumber of reviews and/or low rating. Moreover, the number of and ratingof verified reviews (those that have been verified as coming from acustomer that hired the professional) may correlate with the hire rateof the professional.

Non-review related profile features of the professional may becorrelated with the hire rate of the professional, such as the existenceof a profile picture, the number of profile pictures, the number ofvideos, profile completion status, the number of hires of theprofessional, the length of the service description, whether theprofessional has passed a background check, and/or whether theprofessional shows proof of being licensed. For instance, professionalswith profile picture(s) may have a larger hire rate than thoseprofessionals that do not have profile picture(s). Also, the number ofpictures can have a correlation with hire rate. For instance, the hirerate of professionals tends to go up until about 5 pictures where thehire rate levels off. The number of videos of a professional may becorrelated with the hire rate of the professional depending on thecategory of service provided. Whether a professional has passed abackground check may impact hire rate depending on the service category.For example, professionals that have passed a background check may havea larger hire rate in service categories that concern children (e.g.,babysitting, tutoring, music lessons, etc.). Professionals that haveevidence of being licensed may have a larger hire rate than otherprofessionals in certain categories (e.g., wellness, personal, pets).

The response time of a professional is correlated with the hire rate.For instance, how quickly the professional responds to messages orquestions from a customer impacts the hire rate. That is, professionalsthat respond more quickly have a larger hire rate than otherprofessionals. The response time may be weighed more heavily in recenttime windows and/or only viewed in a certain time window. For instance,the average response time in the past year (or other predefined timeperiod) may be used.

The previous hire rate is generally correlated with the current hirerate. That is, the hire rate of professionals for a service categorygenerally tends to stay roughly linear. The number of previous hiresover a given time period (e.g., over the last year) may be used.

The distance between the requested location and the professional mayimpact hire rate. For instance, hire rate generally goes down asdistance increases. This value may be dependent on whether the customertravels to the professional for the job, whether the professionaltravels to the customer for the job, or whether the job is doneremotely. In cases where the customer travels to the professional forthe job, the hire rate may generally go down as distance increases. Incases where the professional travels to the customer for the job, thehire rate may generally go down as distance increases, but generally notas much as if the customer travelled to the professional. In cases wherethe job may be done remotely, the distance between the requestedlocation and the professional may not impact the hire rate.

Non-professional-specific features such as the historical hire rate inthe category (across all professionals) is generally the same as theexpected hire rate in the category.

Information from the perspective quote, such as the price that would beoffered to perform the requested job, may also impact the hire rate. Forinstance, a professional that is offering a price for the service thatis much higher or much lower than other professionals in the samecategory may negatively impact the hire rate.

Next, at operation 2630, the selection limiter 154 determines a capacityof the service professional to handle the job. The total capacity may beprovided by the service professional and monitored by the matchingmodule 150. For instance, the professional may specify how many jobsthey can perform over a period of time (e.g., per day, per week, permonth, etc.) and the server may track how many jobs the professional hastaken over that period of time. In an embodiment, the professionals arecharged when an automatic quote is placed on their behalf. In anotherembodiment, the professionals are charged when a customer makes acontact (e.g., sends a message, places a phone call through theplatform, etc.) in response to an automatic quote being placed on theirbehalf. In such embodiments, instead of, or in addition to, specifyinghow many jobs a professional can take over a period of time, theprofessional may specify a quote budget that indicates how many quotescan be generated on their behalf. The quote budget may be an overallbudget or may be a recurring budget over a period of time (e.g., a quotebudget per day, per week, per month, etc.). In an embodiment, the numberof quotes generated on behalf of a professional over a given time periodmay be for more jobs than that professional has current capacity tofulfill, if it is determined that the professional on average does nottypically get hired for every quote that is generated. The server tracksthe quote budget and determines whether the service professional hascapacity to perform the job. Flow moves from operation 2630 to operation2635.

At operation 2635, the selection limiter 154 selects a second group ofservice professionals based at least in part on the computed value andthe capacity of the professionals. For instance, the selection limiter154 may rank the professionals that have capacity to perform the job bythe likelihood of the customer hiring the professional, and select thesecond group of professionals according to that ranking. As anotherexample, the selection limiter 154 may distribute the quotes acrossmultiple requests and/or expected requests. For instance, the selectionlimiter 154 may select the members of the second group of serviceprofessionals to maximize the chances to fill all customer requests(existing and expected) over a given period of time (e.g., daily,weekly, monthly). For instance, consider a case where a market has twotutoring professionals that can each take one tutor job per week wherethe first professional can tutor math only and the second professionalcan tutor math and chemistry. If the math tutoring job is taken by thesecond professional during the week, then there is no one in the marketthat can perform the chemistry job during that week. On the other hand,if the math tutoring job is taken by the first professional during theweek, then a chemistry job may be taken by the second professional. Asanother example, the selection limiter 154 may select the members of thesecond group of service professionals to maximize the relevance of theprofessionals' quotes to customers over a longer period of time byforecasting future customer needs and using the forecast to maximize anoverall aggregate measure of relevance across many requests (e.g., allrequests in a market over a week).

FIG. 27 is flow diagram that illustrates exemplary operations forselecting a second group of service professionals according to anembodiment. For instance, the operations of FIG. 27 may be performedduring the operation 2635. At operation 2710, the selection limiter 154computes the number of quotes for the request. The number of quotes forthe request may be determined as a function of the number ofprofessionals that are eligible and have capacity for the job, theaggregate of the number of hired jobs over quotes for the requestedcategory (that is, the average of how many quotes turn into hired jobsfor the requested category), and the expected number of future requestsfor the requested category.

In an embodiment, computing the number of quotes for the requestincludes performing operation 2715-2730. The operations 2715-2725 areperformed for each professional that matched the first level ofmatching. At operation 2715, the selection limiter 154 determines theaverage number of requests the professional receives or has beendetermined to match (e.g., after the second level of matching) in therequested category over a predetermined time period (e.g., per day, perweek, per month, etc.). Next, at operation 2720, the selection limiter154 determines, based at least on the capacity of the professional, howmany quotes can be sent on behalf of the professional. As previouslydescribed, the number of quotes sent on behalf of the professional overa given time period may be higher than the capacity of the professionalover that time period. The selection limiter 154 may determine theaverage rate at which the professional gets hired over the number ofquotes sent over the predetermined time period. The maximum number ofquotes may be set as the capacity of the professional divided by theaverage hire rate of the professional. For instance, if the capacity ofthe professional for a week is 5 jobs and the average hire rate of theprofessional is 0.5, the maximum number of quotes that can be sent onbehalf of the professional may be 10. Next, at operation 2725, theselection limiter 154 determines the maximum rate of quoting over thepredetermined time period, with a ceiling of 1. For instance, themaximum rate of quoting may be calculated as the maximum number ofquotes over the average number of requests the professional receivesover the predetermined time period. For instance, if the professionalreceives 15 requests on average over the predetermined time period andthe maximum number of quotes over that time period is calculated to be10, the maximum rate of quoting over the time period may be 10/15. Next,at operation 2730, the selection limiter 154 determines the sum of eachmaximum rate of quoting for each professional as found in operation2725, which is the computed number of quotes for the request. By way ofexample, if each professional had a maximum rate of quoting as 1, thesum of each maximum rate of quoting would be equal to the number ofprofessionals that matched the first level of matching.

In an embodiment, the selection limiter 154 may limit the number ofquotes to a predefined number (e.g., up to five quotes), and/or reservea number of quotes for those professionals that have recently registeredfor the system (e.g., within a predefined period of time such as 30days) and/or have recently begun offering service for the requestedcategory in the requested location (e.g., within the predefined periodof time).

After computing the number of quotes for the request, flow moves tooperation 2735 where the selection limiter 154 selects theprofessional(s) to fill the number of quotes. The selection of theprofessionals may be based on a ranking of the professionals and may berandomized. For instance, the ranking of each professional may be thesame as described in operation 2625, and may be weighed based on themaximum rate of quoting over the predetermined time period found inoperation 2725 (e.g., the computed value that quantifies a likelihood ofthe requesting customer hiring that service professional multiplied bythe maximum rate of quoting over the predetermined time period). Theresulting values for the professionals may be ranked and the quotes maybe generated for the highest ranking professionals. A weighted randomsampling may also be applied to produce randomness, such as according tothe A-ES algorithm of Efraimidis and Spirakis.

Referring back to FIG. 2, after the responder is selected for respondingto the request, flow moves to operation 230, which is optional in someembodiments, where the response module 145 automatically selects, fromthe response template(s) for the responder stored in the data store 160,a response template. The response module 145 may perform a matchingprocess to determine the best template to select for generating aresponse to the request 175. The matching process may include comparinginformation included in the request 175 against each of the templatesfor the responder stored in data store 160 and determining whichtemplate best matches the information in the request. Determining whichtemplate best matches the information in the request may includeperforming a scoring process where each of the response templates arescored based at least on the comparison of the request values includedin the request with the expected values of the matching preferenceconfigured for that template. The scoring process may incorporatehistorical analysis of the templates (for similar requests in the samecategory, for example) that reflects how each template performs. Examplehistorical analysis may include: the rate at which requesters view aresponse generated from that template, the rate at which requestersrespond to a response generated from that template, and/or the rate atwhich requesters select a responder to fulfill the request as a resultof a response generate from that template. The template that has thehighest score may be the template that is automatically selected.Automatically selecting the best template for generating a responsereduces the time and effort for responders to respond to a request.

In an embodiment, the response module 145 may highlight or flag anyinformation from the request that does not match the selected template.By way of example, if the request specifies use of a fog machine and theresponder does not have access to a fog machine, the template selectormay flag that to the responder that a fog machine was requested so thatthe responder may customize their response accordingly.

FIG. 28 is a flow diagram that illustrates exemplary operations forselecting a response template from multiple response templates forresponding to a request, according to an embodiment. The operations ofFIG. 28 may be performed by the response module 145 when performingoperation 230. At operation 2810, the response module 145 scores eachtemplate for the responder based on matches from the request to thetemplates, where each template includes a set of one or more fields usedfor matching (referred to as matching preferences). As previouslydescribed, each template for a responder includes a set of one or morematching preferences, which may be configurable by that responder.Example operations for scoring each template are described in operations2815-2840.

At operation 2815, for each of the set of fields used for matching, theoperations 2820-2835 are performed. At operation 2820, the data providedin the request for the field is retrieved. Next, at operation 2825, adetermination is made whether the retrieved data matches an expectedvalue of the field of the template. For instance, the response module145 may determine whether the data provided in the request for the fieldis contained within the matching preference's input value set. If theretrieved data matches an expected value of the field, then flow movesto operation 2830 where the response module 145 increases the score ofthe template. In an embodiment, the amount the score is increased may bedifferent for different fields, depending on an importance of that fieldto the responder. For instance, in an embodiment where the request isfor a service, one of the fields may be for specifying the occasion forthe service, and the responder may have different templates fordifferent occasions. In such a case, the field specifying the occasionmay be scored higher than other fields. If the retrieved data does notmatch an expected value of the field, then flow moves to operation 2835,where the response module 145 determines if there is another field usedfor matching in the template. If there is, then flow moves back tooperation 2820, otherwise flow moves to operation 2840 where the scorefor the template is finalized. After each of the templates are scored,flow moves to operation 2845 where the response module 145 selects thehighest scoring template.

In an embodiment, the matching process incorporates historical analysisof the templates that reflects how each template performs. FIG. 29 is aflow diagram that illustrates exemplary operations for calculating theperformance of each template of a responder, according to an embodiment.The calculated performance may be used when selecting a responsetemplate for responding to a request. The operations of FIG. 29 may beperformed by the response module 145. The operations of FIG. 29 can beperformed in addition to, or in lieu of, the operations described withrespect to FIG. 28.

The operations of FIG. 29 are based on information collected by theserver 125 after submission of a response by or on behalf of a responderusing a template. If no responses have been submitted through use of atemplate, the operations of FIG. 29 are not performed. In an embodiment,the operations of FIG. 29 are performed only after the number ofresponses that have been submitted by or on behalf of a responder usinga template exceeds a threshold. At operation 2910, after submitting aresponse to a requester that was generated from a template, the responsemodule 145 records an identifier associated to the template used in theresponse. This identifier is used to identify the template throughdifferent interactions with the system. For instance, the server 125 mayrecord in the data store 160 the following information: whether therequester views the response generated by that template (e.g., opens anemail link to the response that causes the response to be displayed,opens the response via a native application, and/or logs into an accounton the server 125 and opens the response); whether the requesterresponds to the response (e.g., submits a message to the responder);and/or whether the requester selected the responder to fulfill therequest (such as hired the responder).

Flow moves from operation 2910 to operation 2915, where the responsemodule 145 determines whether the requester viewed the response (e.g.,by accessing the information stored in the data store 160). If therequester did not view the response, then flow moves to operation 2920where the score of the template is decreased, and flow moves tooperation 2945. If the requester viewed the response, then flow moves tooperation 2925 where the score of the template is increased.

Flow moves from operation 2925 to operation 2930 where the responsemodule 145 determines whether the requester responded to the response(e.g., by accessing the information stored in the data store 160). Ifthe requester did not respond to the response, then flow moves tooperation 2935 where the score of the template is decreased and flowmoves to operation 2945. If the requester responded to the response,then flow moves to operation 2940 where the score of the template isincreased. The amount that the score is increased in operation 2940 maybe different than the amount the score is increased in operation 2925.

Flow moves from operation 2940 to operation 2945 where the responsemodule 145 determines whether the requester selected the responder tofulfill the request (such as by hiring the responder) (e.g., byaccessing the information stored in the data store 160). If therequester did not select the responder for fulfilling the request, thenflow moves to operation 2950 where the score of the template isdecreased, and flow then moves to operation 2945. If the requesterselected the responder for fulfilling the request, then flow moves tooperation 2955 where the score of the template is increased, and flowmoves to operation 2960, where the score of the template as calculatedin operations 2915-2955 is stored in the data store 160.

The amount that the score is decreased in operations 2920, 2935, and/or2950, may each be different. The amount that the score is increased inoperations 2925, 2940, and/or 2955, may each be different. For instance,selecting the responder to fulfill the request may have the largestincrease in the score; while not responding to the response (althoughviewing the response) may have the largest decrease in the score.Alternatively, instead of decreasing the score in operations 2920, 2935,and 2950, the response module 145 may keep the score for the templatelevel, and increase the score in operations 2925, 2940, and 2955. Asanother alternative, instead of increasing the score in operations 2925,2940, and 2955, the response module 145 may keep the score for thetemplate level, and decrease the score of the template in operations2920, 2935, and 2950.

The response module 145 may use the score of the template described inFIGS. 28 and 29 when selecting the template, in operation 230. Forinstance, the template matching score described in operation FIG. 28 maybe combined (e.g., added) with the template performance score inoperation FIG. 29 and the highest scoring template may be selected.

Referring back to FIG. 2, flow moves from operation 230 to operation 235where the response module 145 automatically generates a response. Theresponse is generated using at least some of the configurationinformation received from the professional. For instance, the responsemay specify the values configured by the professional that correspond tothe request fields included in the request. The response may not includethose values configured by the professional that do not correspond tothe values in the request fields included in the request. For instance,as shown in FIG. 12B, the professional has provided informationindicating many different types of events in which the professionalprovides service. If the request specifies a wedding event, however, theresponse may not specify that the professional provides services for allthe types of events listed in FIG. 12B besides a wedding event.

If a template was selected, the response is generated using thattemplate. For instance, in an embodiment, the response module 145extracts information included in the request corresponding to the set ofplaceholder values defined for the template and automatically populatesthe placeholder values with the extracted information. For example, thetemplate may include a placeholder value for the name of the requester,which is included in the request. The response module 145 extracts thename of the requester from the request and automatically populates thename into the corresponding placeholder value.

In an embodiment where one or more response sheets were configured bythe professional, generating the response includes determining theresponse sheet that matches the request and including the configuredinformation from the matching response sheet into the generatedresponse. For instance, the response module 145 accesses the responsesheet definitions stored in the data store 160 that informs how to matcha request to a response sheet to determine which response sheet matchesthe request. The response sheet definitions may identify the matchingresponse sheet. If there is a matching response sheet, then thatmatching response sheet is retrieved and the price and messagedetermined using the matching response sheet.

FIG. 30 is a flow diagram that illustrates exemplary operations forgenerating the response using a response sheet, according to anembodiment. The operations of FIG. 30 may be performed during operation235 according to an embodiment. At operation 3010, the response module145 determines whether there is response sheet for the professional thatmatches the request. For instance, the response module 145 may accessthe response sheet definitions in the data store 160 to determine ifthere is a response sheet for the professional that matches the request.For instance, if the request is for a DJ wedding event for 3 hours, theresponse module 145 access the response sheet definitions to determineif there is a response sheet for a DJ event wedding for 3 hours. Ifthere is not a matching response sheet, then flow moves to operation3015 where an alternative action is taken (e.g., a default price andmessage are included). If there is a matching response sheet, then flowmoves to operation 3020 where the response module 145 accesses thematching response sheet. As an example, the response sheet definitionsmay include an identifier of the matching response sheet that can beused by the response module 145 to access the matching response sheet.Next, at operation 3025, the response module 145 determines the priceand message to include in the response from the matching response sheet.For instance, the response module 145 calculates the total price for therequest (dependent on the request preferences and the correspondingvalues defined in the matching response sheet) and determines theappropriate message from the matching response sheet.

FIGS. 31A-B illustrate an exemplary response that has been automaticallygenerated in accordance with embodiments described herein. The response3105 specifies the following response parameters that detail the serviceprovided by the professional that is relevant to the correspondingrequest, including: the element 3111 specifying the professionalprovides wedding DJ event service, the element 3112 specifying the typeof music that can be provided by the professional, the element 3113specifying that the professional can provide services to outdoor venues,the element 3114 specifying that the professional is available at therequested date, the element 3115 specifying that the professional isavailable at the requested time, the element 3116 specifying that theprofessional is available to provide a job duration of 4 hours, theelement 3117 specifying that setup and breakdown is included, theelement 3118 specifying that more info is needed regarding travel fees,the element 3119 specifying that sound equipment is not offered by theprofessional, and the element 3120 specifying that MC service isprovided by the professional but at an extra cost. The response 3105includes an option for the customer to request other add-ons to theservice, including an uplighting add-on 3130 and an MC service add-on532.

The response 3105 includes an automatically generated message 3121. Thegenerated message 3121 may be generated through use of a template, aspreviously described. The generated message 3121 may includeautomatically populated values extracted from the request, such as thename of the requester.

The response 3105 includes the total price of the service, which may bean estimate of the total price, in element 3140. The price of theservice may be automatically calculated according to the response sheet.The response 3105 includes a hire button 3150 that allows the customerto specify an intention of hiring the professional.

At operation 240, the generated response 180 is transmitted to therequesting customer via the customer device 105. In an embodiment, priorto transmitting the generated response 180, the generated response isprovided to the responder for review. The response module 145 may causea message to be transmitted to the responder (e.g., email, text message,phone call, message within a native application) that indicates thatthere is a response pending their review. The responder may then adjustthe generated response including removing information, addinginformation, deleting information, and/or selecting a different templatefor generation of the response. In another embodiment, the generatedresponse is automatically sent to the requesting requester on behalf ofthe responder without the responder reviewing or otherwise approving thegenerated response.

As described herein, the improved system for generating responses allowsresponders to create, manage, and/or configure multiple templates aheadof time for the different types of requests that they might receive.These templates can be automatically selected and a response can beautomatically generated using these templates. As a result, the timethat is necessary for the responder to respond to the request is greatlydiminished. This allows time-sensitive requests to be answered promptly.Further, the generated responses are automatically tailored to fit therequest. This allows the responses to be generated automatically withoutthe responder needing to manually adjust the responses, thereby savingtime and reducing error of manually reusing a previous response.

FIG. 32 illustrates a block diagram for an exemplary data processingsystem 3200 that may be used in some embodiments. Data processing system3200 includes one or more processors 3205 and connected systemcomponents (e.g., multiple connected chips). Alternatively, the dataprocessing system 3200 is a system on a chip or Field-Programmable gatearray. One or more such data processing systems 3200 may be utilized toimplement the embodiments and operations described with reference toFIGS. 1-31.

The data processing system 3200 is an electronic device which stores andtransmits (internally and/or with other electronic devices over anetwork) code (which is composed of software instructions and which issometimes referred to as computer program code or a computer program)and/or data using machine-readable media (also called computer-readablemedia), such as machine-readable storage media 3210 (e.g., magneticdisks, optical disks, read only memory (ROM), flash memory devices,phase change memory) and machine-readable transmission media (alsocalled a carrier) (e.g., electrical, optical, radio, acoustical or otherform of propagated signals—such as carrier waves, infrared signals),which is coupled to the processor(s) 3205. For example, the depictedmachine-readable storage media 3210 may store program code 3230 that,when executed by the processor(s) 3205, causes the data processingsystem 3200 to enable automatically generating a response on behalf of afirst user to a request received from a second user. For example, theprogram code 3230 may include automatic response generation code 3208,which when executed by the processor(s) 3205, causes the data processingsystem 3200 to perform all or some of the operations described withreference to FIGS. 1-31. In some embodiments, the automatic responsegeneration code 3208 may be stored on a centralized (backend) electronicdevice that is in communication with multiple electronic devices ofservice professionals and/or customers. In some embodiments, theautomatic response generation code 3208 may include one or more subsetsof codes stored on separate electronic devices, where each subset whenexecuted on the respective electronic device causes the electronicdevice to perform some or all of the operations described with referenceto FIGS. 1-31.

Thus, an electronic device (e.g., a computer or a mobile device)includes hardware and software, such as a set of one or more processorscoupled to one or more machine-readable storage media to store code forexecution on the set of processors and/or to store data. For instance,an electronic device may include non-volatile memory containing the codesince the non-volatile memory can persist the code even when theelectronic device is turned off, and while the electronic device isturned on that part of the code that is to be executed by theprocessor(s) of that electronic device is copied from the slowernon-volatile memory into volatile memory (e.g., dynamic random accessmemory (DRAM), static random access memory (SRAM)) of that electronicdevice. Typical electronic devices also include a set or one or morephysical network interface(s) to establish network connections (totransmit and/or receive code and/or data using propagating signals) withother electronic devices. One or more parts of an embodiment of theinvention may be implemented using different combinations of software,firmware, and/or hardware. The data processing system 3200 may alsoinclude a display controller and display device 3220 to provide a visualuser interface for the user, e.g., GUI elements or windows. The visualuser interface (or graphical interface) may be used to enable a user toinput structured information related to the request, for example.

The data processing system 3200 also includes one or more input oroutput (“I/O”) devices and interfaces 3225, which are provided to allowa user to provide input to, receive output from, and otherwise transferdata to and from the system. These I/O devices 3225 may include a mouse,keypad, keyboard, a touch panel or a multi-touch input panel, camera,frame grabber, optical scanner, an audio input/output subsystem (whichmay include a microphone and/or a speaker for, for example, playing backmusic or other audio, receiving voice instructions to be executed by theprocessor(s) 3205, playing audio notifications, etc.), other known I/Odevices or a combination of such I/O devices. The touch input panel maybe a single touch input panel which is activated with a stylus or afinger or a multi-touch input panel which is activated by one finger ora stylus or multiple fingers, and the panel is capable of distinguishingbetween one or two or three or more touches and is capable of providinginputs derived from those touches to the processing system 3200. The I/Odevices and interfaces 3225 may also include a connector for a dock or aconnector for a USB interface, FireWire, Thunderbolt, Ethernet, etc., toconnect the system 3200 with another device, external component, or anetwork. Exemplary I/O devices and interfaces 3225 also include wirelesstransceivers, such as an IEEE 802.11 transceiver, an infraredtransceiver, a Bluetooth transceiver, a wireless cellular telephonytransceiver (e.g., 2G, 3G, 4G), or another wireless protocol to connectthe data processing system 3200 with another device, external component,or a network and receive stored instructions, data, tokens, etc. It willbe appreciated that one or more buses may be used to interconnect thevarious components shown in FIG. 32.

It will be appreciated that additional components, not shown, may alsobe part of the system 3200, and, in certain embodiments, fewercomponents than that shown in FIG. 32 may also be used in a dataprocessing system 3200.

While the flow diagrams in the figures show a particular order ofoperations performed by certain embodiments of the invention, it shouldbe understood that such order is exemplary (e.g., alternativeembodiments may perform the operations in a different order, combinecertain operations, overlap certain operations, etc.).

While the invention has been described in terms of several embodiments,those skilled in the art will recognize that the invention is notlimited to the embodiments described, can be practiced with modificationand alteration within the spirit and scope of the appended claims. Thedescription is thus to be regarded as illustrative instead of limiting.

What is claimed is:
 1. A method in a server for automatically generatinga response on behalf of a first user to a request received from a seconduser, comprising: receiving configuration information for configuringautomatic response generation for the first user, wherein the receivedconfiguration information for configuring automatic response generationincludes: information identifying the first user, information specifyinga type of service provided by the first user including a first pluralityof parameters that define details for the service, and informationproviding an availability of the first user to provide the specifiedtype of service; receiving the request from the second user; selectingthe first user from a plurality of users to respond to the requestreceived from the second user; automatically generating the responseusing at least some of the received configuration information; andautomatically transmitting the response to the second user.
 2. Themethod of claim 1, wherein the request specifies that the response beautomatically generated as opposed to being manually generated.
 3. Themethod of claim 1, wherein selecting the first user from the pluralityof users includes receiving a selection indication from the second userof the first user.
 4. The method of claim 1, wherein the receivedconfiguration information further includes information indicating anumber of responses can be generated on behalf of the first user in agiven period of time; and wherein selecting the first user from theplurality of users includes determining that the first user is withinthe number of responses over the given period of time.
 5. The method ofclaim 1, wherein the received configuration information further includesinformation indicating pricing for the type of service including theplurality of parameters, and wherein automatically generating theresponse includes calculating a total price to fulfill the request andincluding the total price in the response.
 6. The method of claim 1,wherein the request specifies a second plurality of parameters, andwherein selecting the first user to respond to the request received fromthe second user includes determining that the first user meets thesecond plurality of parameters specified in the request.
 7. The methodof claim 6, wherein automatically generating the response includesincluding information in the response from the received configurationinformation that matches the second plurality of parameters specified inthe request.
 8. A non-transitory machine-readable storage medium thatprovides instructions that, when executed by a processor of a server,causes the processor to perform operations for automatically generatinga response on behalf of a first user to a request received from a seconduser, the operations comprising: receiving configuration information forconfiguring automatic response generation for the first user, whereinthe received configuration information for configuring automaticresponse generation includes: information identifying the first user,information specifying a type of service provided by the first userincluding a first plurality of parameters that define details for theservice, and information providing an availability of the first user toprovide the specified type of service; receiving the request from thesecond user; selecting the first user from a plurality of users torespond to the request received from the second user; automaticallygenerating the response using at least some of the receivedconfiguration information; and automatically transmitting the responseto the second user.
 9. The non-transitory machine-readable storagemedium of claim 8, wherein the request specifies that the response beautomatically generated as opposed to being manually generated.
 10. Thenon-transitory machine-readable storage medium of claim 8, whereinselecting the first user from the plurality of users includes receivinga selection indication from the second user of the first user.
 11. Thenon-transitory machine-readable storage medium of claim 8, wherein thereceived configuration information further includes informationindicating a number of responses can be generated on behalf of the firstuser in a given period of time; and wherein selecting the first userfrom the plurality of users includes determining that the first user iswithin the number of responses over the given period of time.
 12. Thenon-transitory machine-readable storage medium of claim 8, wherein thereceived configuration information further includes informationindicating pricing for the type of service including the plurality ofparameters, and wherein automatically generating the response includescalculating a total price to fulfill the request and including the totalprice in the response.
 13. The non-transitory machine-readable storagemedium of claim 8, wherein the request specifies a second plurality ofparameters, and wherein selecting the first user to respond to therequest received from the second user includes determining that thefirst user meets the second plurality of parameters specified in therequest.
 14. The non-transitory machine-readable storage medium of claim13, wherein automatically generating the response includes includinginformation in the response from the received configuration informationthat matches the second plurality of parameters specified in therequest.
 15. A server, comprising: a processor; and a non-transitorymachine-readable storage medium that provides instructions that, whenexecuted by the processor, causes the processor to perform operationsfor automatically generating a response on behalf of a first user to arequest received from a second user, the operations comprising: receiveconfiguration information for configuring automatic response generationfor the first user, wherein the received configuration information forconfiguring automatic response generation is to include: informationidentifying the first user, information specifying a type of serviceprovided by the first user including a first plurality of parametersthat define details for the service, and information providing anavailability of the first user to provide the specified type of service;receive the request from the second user; select the first user from aplurality of users to respond to the request received from the seconduser; automatically generate the response using at least some of thereceived configuration information; and automatically transmit theresponse to the second user.
 16. The server of claim 15, wherein therequest is to specify that the response be automatically generated asopposed to being manually generated.
 17. The server of claim 15, whereinautomatic selection of the first user from the plurality of usersincludes receipt of a selection indication from the second user of thefirst user.
 18. The server of claim 15, wherein the receivedconfiguration information further is to include information indicating anumber of responses can be generated on behalf of the first user in agiven period of time; and wherein selection of the first user from theplurality of users includes a determination that the first user iswithin the number of responses over the given period of time.
 19. Theserver of claim 15, wherein the received configuration informationfurther is to include information indicating pricing for the type ofservice including the plurality of parameters, and wherein automaticgeneration of the response includes a calculation of a total price tofulfill the request and including the total price in the response. 20.The server of claim 15, wherein the request is to specify a secondplurality of parameters, and wherein selection of the first user torespond to the request received from the second user includes adetermination that the first user meets the second plurality ofparameters specified in the request.
 21. The server of claim 20, whereinautomatic generation of the response is to include information in theresponse from the received configuration information that matches thesecond plurality of parameters specified in the request.